






'''simple docstring'''





from collections.abc import Callable


class  snake_case__      :




					def __init__(  self  :		int				, _A  :		Callable | None = None      )    ->							None:
								# Stores actual heap items.
								UpperCAmelCase_      :       list          =       []
								# Stores indexes of each item for supporting updates and deletion.
								UpperCAmelCase_      :       dict          =       {}
								# Stores current size of heap.
								UpperCAmelCase_      :       int          =       0
								# Stores function used to evaluate the score of an item on which basis ordering
								# will be done.
								UpperCAmelCase_      :       Optional[Any]          =       key or (lambda _A      : x)




					def 		A      (  self  :		Union[str, Any]				, _A  :		int      )    ->							int | None:
								return int((i - 1) / 2      ) if i > 0 else None




					def 		A      (  self  :		Optional[int]				, _A  :		int      )    ->							int | None:
								UpperCAmelCase_      :       Optional[int]          =       int(2 * i + 1      )
								return left if 0 < left < self.size else None




					def 		A      (  self  :		int				, _A  :		int      )    ->							int | None:
								UpperCAmelCase_      :       List[str]          =       int(2 * i + 2      )
								return right if 0 < right < self.size else None




					def 		A      (  self  :		Union[str, Any]				, _A  :		int				, _A  :		int      )    ->							None:
								UpperCAmelCase_    ,      UpperCAmelCase_      :       Any          =       (
								    self.pos_map[self.arr[j][0]],
								    self.pos_map[self.arr[i][0]],
								)
								# Then swap the items in the list.
								UpperCAmelCase_    ,      UpperCAmelCase_      :       int          =       self.arr[j], self.arr[i]




					def 		A      (  self  :		Union[str, Any]				, _A  :		int				, _A  :		int      )    ->							bool:
								return self.arr[i][1] < self.arr[j][1]




					def 		A      (  self  :		Optional[Any]				, _A  :		int      )    ->							int:
								UpperCAmelCase_      :       Tuple          =       self._left(_A      )
								UpperCAmelCase_      :       Dict          =       self._right(_A      )
								UpperCAmelCase_      :       str          =       i

								if left is not None and not self._cmp(_A				, _A      ):
											UpperCAmelCase_      :       Dict          =       left
								if right is not None and not self._cmp(_A				, _A      ):
											UpperCAmelCase_      :       str          =       right

								return valid_parent




					def 		A      (  self  :		List[Any]				, _A  :		int      )    ->							None:
								UpperCAmelCase_      :       Dict          =       self._parent(_A      )
								while parent is not None and not self._cmp(_A				, _A      ):
											self._swap(_A				, _A      )
											UpperCAmelCase_    ,      UpperCAmelCase_      :       List[Any]          =       parent, self._parent(_A      )




					def 		A      (  self  :		List[str]				, _A  :		int      )    ->							None:
								UpperCAmelCase_      :       Optional[Any]          =       self._get_valid_parent(_A      )
								while valid_parent != index:
											self._swap(_A				, _A      )
											UpperCAmelCase_    ,      UpperCAmelCase_      :       Union[str, Any]          =       valid_parent, self._get_valid_parent(_A      )




					def 		A      (  self  :		List[Any]				, _A  :		int				, _A  :		int      )    ->							None:
								if item not in self.pos_map:
											return
								UpperCAmelCase_      :       Optional[int]          =       self.pos_map[item]
								UpperCAmelCase_      :       Optional[Any]          =       [item, self.key(_A      )]
								# Make sure heap is right in both up and down direction.
								# Ideally only one of them will make any change.
								self._heapify_up(_A      )
								self._heapify_down(_A      )




					def 		A      (  self  :		Union[str, Any]				, _A  :		int      )    ->							None:
								if item not in self.pos_map:
											return
								UpperCAmelCase_      :       Optional[int]          =       self.pos_map[item]
								del self.pos_map[item]
								UpperCAmelCase_      :       str          =       self.arr[self.size - 1]
								UpperCAmelCase_      :       Union[str, Any]          =       index
								self.size -= 1
								# Make sure heap is right in both up and down direction. Ideally only one
								# of them will make any change- so no performance loss in calling both.
								if self.size > index:
											self._heapify_up(_A      )
											self._heapify_down(_A      )




					def 		A      (  self  :		Tuple				, _A  :		int				, _A  :		int      )    ->							None:
								UpperCAmelCase_      :       List[str]          =       len(self.arr      )
								if arr_len == self.size:
											self.arr.append([item, self.key(_A      )]      )
								else:
											UpperCAmelCase_      :       Dict          =       [item, self.key(_A      )]
								UpperCAmelCase_      :       Optional[int]          =       self.size
								self.size += 1
								self._heapify_up(self.size - 1      )




					def 		A      (  self  :		Optional[int]      )    ->							tuple | None:
								return self.arr[0] if self.size else None





					def 		A      (  self  :		Dict      )    ->							tuple | None:
								UpperCAmelCase_      :       str          =       self.get_top()
								if top_item_tuple:
											self.delete_item(top_item_tuple[0]      )
								return top_item_tuple






def __UpperCAmelCase   (					)    ->   None:
			pass


if __name__ == "__main__":
						import doctest

						doctest.testmod()










'''simple docstring'''





import warnings

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_UpperCamelCase						:						Optional[Any]  =					logging.get_logger(__name__)

_UpperCamelCase						:						Dict  =					{
    'RUCAIBox/mvp': 'https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json',
}


class  snake_case__      (					UpperCamelCase):
					a_        =					"mvp"
					a_        =					["past_key_values"]
					a_        =					{"num_attention_heads": "encoder_attention_heads", "hidden_size": "d_model"}




					def __init__(  self  :		Any				, _A  :		List[str]=5_02_67				, _A  :		Dict=10_24				, _A  :		List[str]=12				, _A  :		Dict=40_96				, _A  :		Optional[int]=16				, _A  :		Optional[Any]=12				, _A  :		int=40_96				, _A  :		Dict=16				, _A  :		Union[str, Any]=0.0				, _A  :		Optional[Any]=0.0				, _A  :		int="gelu"				, _A  :		Union[str, Any]=10_24				, _A  :		int=0.1				, _A  :		Optional[Any]=0.0				, _A  :		Optional[Any]=0.0				, _A  :		Optional[Any]=0.02				, _A  :		Optional[Any]=0.0				, _A  :		str=False				, _A  :		List[Any]=True				, _A  :		Optional[int]=1				, _A  :		Tuple=0				, _A  :		Dict=2				, _A  :		Dict=True				, _A  :		int=2				, _A  :		Tuple=2				, _A  :		List[str]=False				, _A  :		Any=1_00				, _A  :		Union[str, Any]=8_00				, **_A  :		List[str]				, )    ->							int:
								UpperCAmelCase_      :       Union[str, Any]          =       vocab_size
								UpperCAmelCase_      :       int          =       max_position_embeddings
								UpperCAmelCase_      :       Dict          =       d_model
								UpperCAmelCase_      :       Dict          =       encoder_ffn_dim
								UpperCAmelCase_      :       Optional[Any]          =       encoder_layers
								UpperCAmelCase_      :       Tuple          =       encoder_attention_heads
								UpperCAmelCase_      :       List[Any]          =       decoder_ffn_dim
								UpperCAmelCase_      :       List[Any]          =       decoder_layers
								UpperCAmelCase_      :       Dict          =       decoder_attention_heads
								UpperCAmelCase_      :       str          =       dropout
								UpperCAmelCase_      :       Optional[Any]          =       attention_dropout
								UpperCAmelCase_      :       Optional[Any]          =       activation_dropout
								UpperCAmelCase_      :       Union[str, Any]          =       activation_function
								UpperCAmelCase_      :       Union[str, Any]          =       init_std
								UpperCAmelCase_      :       Optional[int]          =       encoder_layerdrop
								UpperCAmelCase_      :       Optional[int]          =       decoder_layerdrop
								UpperCAmelCase_      :       Dict          =       classifier_dropout
								UpperCAmelCase_      :       List[Any]          =       use_cache
								UpperCAmelCase_      :       Dict          =       encoder_layers
								UpperCAmelCase_      :       Tuple          =       scale_embedding  # scale factor will be sqrt(d_model) if True
								UpperCAmelCase_      :       int          =       use_prompt
								UpperCAmelCase_      :       Tuple          =       prompt_length
								UpperCAmelCase_      :       str          =       prompt_mid_dim

								super().__init__(
								    pad_token_id=_A				, bos_token_id=_A				, eos_token_id=_A				, is_encoder_decoder=_A				, decoder_start_token_id=_A				, forced_eos_token_id=_A				, **_A				, )

								if self.forced_bos_token_id is None and kwargs.get('''force_bos_token_to_be_generated'''				, _A      ):
											UpperCAmelCase_      :       Optional[Any]          =       self.bos_token_id
											warnings.warn(
											    F"Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. "
											    '''The config can simply be saved and uploaded again to be fixed.'''      )


